[PDF] R Statistical Application Development by Example Beginner's Guide Free Download

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      • [PDF] R Statistical Application Development by Example Beginner’s Guide Free Download by Prabhanjan Narayanachar Tattar | Publisher : Packt Publishing | Category : Computers & Internet | Tags : Application Development, Computer, Visualization, Code, Modeling, Fundamentals | ISBN-10 : 1849519447 | ISBN-13 : 9781849519441
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      • R Statistical Application Development by Example Beginner's Guide by Prabhanjan Narayanachar Tattar, Publisher : Packt Publishing
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    • Complete Book Description
      • Learn R Statistical Application Development from scratch in a clear and pedagogical manner

        Overview

        • A self-learning guide for the user who needs statistical tools for understanding uncertainty in computer science data.
        • Essential descriptive statistics, effective data visualization, and efficient model building.
        • Every method explained through real data sets enables clarity and confidence for unforeseen scenarios.

        In Detail

        “R Statistical Application Development by Example Beginner’s Guide” explores statistical concepts and the R software, which are well integrated from the word go. This demarcates the separate learning of theory and applications and hence the title begins with “R Statistical “. Almost every concept has an R code going with it which exemplifies the strength of R and applications. Thus, the reader first understands the data characteristics, descriptive statistics, and the exploratory attitude which gives the first firm footing of data analysis. Statistical inference and the use of simulation which makes use of the computational power complete the technical footing of statistical methods. Regression modeling, linear, logistic, and CART, builds the essential toolkit which helps the reader complete complex problems in the real world.

        The reader will begin with a brief understanding of the nature of data and end with modern and advanced statistical models like CART. Every step is taken with DATA and R code.

        The data analysis journey begins with exploratory analysis, which is more than simple descriptive data summaries, and then takes the traditional path up to linear regression modeling, and ends with logistic regression, CART, and spatial statistics.

        True to the title R Statistical Application Development by Example Beginner’s Guide, the reader will enjoy the examples and R software.

        What you will learn from this book

        • Learn the nature of data through software which takes the preliminary concepts right away in R
        • Read data from various sources and export the R output to other software
        • Perform effective data visualization which respects the nature of variables and with rich alternative options
        • Do exploratory data analysis for useful first understanding which builds up the right attitude towards effective inference
        • Learn statistical inference through simulation combining the classical inference and modern computational power
        • Delve deep into regression models such as linear and logistic for continuous and discrete regressands which form the fundamentals of modern statistics
        • Introduce yourself to CART – a machine learning tool which is very useful when the data has an intrinsic nonlinearity

        Approach

        Full of screenshots and examples, this Beginner’s Guide by Example will teach you practically everything you need to know about R statistical application development from scratch.

        Who this book is written for

        You will begin learning the first concepts of statistics in R which is vital in this fast paced era and it is also a bargain as you do not need to do a preliminary course on the subject.

        Table of Contents

        Chapter 1: Data Characteristics
        Chapter 2: Import/Export Data
        Chapter 3: Data Visualization
        Chapter 4: Exploratory Analysis
        Chapter 5: Statistical Inference
        Chapter 6: Linear Regression Analysis
        Chapter 7: The Logistic Regression Model
        Chapter 8: Regression Models with Regularization
        Chapter 9: Classification and Regression Trees
        Chapter 10: CART and Beyond
        Appendix: References

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    • Book Details
      • Book Name : R Statistical Application Development by Example Beginner’s Guide

        Edition : 1

        Author : Prabhanjan Narayanachar Tattar

        Publisher : Packt Publishing

        Category : Computers & Internet

        ISBN-10 : 1849519447

        ISBN-13 : 9781849519441

        ASIN : 1849519447

        Pages : 344

        Language : English

        Publish Date : July 24, 2013
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